Making Quicker, More Informed Decisions With Predictive Analytics

Lisa McCann

Thought leaders and subject matter experts have been saying for quite some time that the future of analytics and Big Data is predictive analytics. Yes, we will still require reporting and dashboards, and the demand for real-time updates only increases with the growth of “live business.” However, the ability to predict the future with a high level of confidence via the combination of Big Data and next-generation analytics solutions is truly here to stay.

I had the pleasure to speak on a customer panel at our SAPPHIRE NOW customer event earlier this spring – “Make Quicker and More Informed Decisions with Predictive Analytics” – moderated by my colleague Jim Bowler, VP of SAP services delivery for the Midwest region. I was joined by three great SAP customers who shared their stories.  I was extremely impressed by their great customer stories and very pleased to add our perspective from SAP North America Services:

  • Centerpoint Energy: Talk about a proof point of really Big Data! The use of smart metering has created an amazing business opportunity for this North American leader in energy distribution. It’s great story of the Internet of Things (IoT) with the proliferation of smart meters, a pragmatic business case for innovation and much more.
  • Mohawk: A manufacturer of carpet and flooring products, Mohawk also uses the Internet of Things (IOT) for both proactive monitoring of customer returns and manufacturing and underlying analytics of sensor-based data to ultimately achieve real cost savings. It offers a great example of making more informed decisions with predicative analytics and leveraging innovation for business transformation.
  • Honda R&D: A well-known car manufacturer leveraging “connected cars” in a well-documented solutions area for innovation, it’s also the precursor to the driverless automated cars of the future. In its mission to design and produce automobiles, it is leveraging sensors and IoT for a “sense-and-respond” paradigm to increase efficiency.
  • SAP North America:  I presented our use case of “SAP runs SAP,” and specifically the use of predictive analytics for propensity modeling, offering prescriptive advice to North American SAP salespeople. This is a great example of the “consummation of IT” – it’s similar to the Amazon “collaborative filtering” for advising customers on what others purchase along with a given product based upon past history. It’s truly a best practice for predictive analytics, and one that’s been submitted to various industry awards for consideration.

Watch the on-demand replay of our great SAPPHIRE NOW customer panel. I am also very pleased to be speaking on July 28th 2016 on an SAP Digital Business Services Thought Leadership Webcast hosted by Fred Isbell, head of thought leadership for SAP Digital Business Services Marketing. Our topic is “Making a Business Case for the Cloud: Issues, Considerations and Best Practices” and I’ll be joined by a great panel of experts — Stuart Williams, VP of research for Technology Business Research (TBR) and Eamon Kearns, senior director, emerging solutions at MIT.

Click here to register, and I look forward to joining you online!





Lisa McCann

About Lisa McCann

Lisa McCann is the Chief Operating Officer (COO) for SAP Services North America